def test_batching_with_hyperopt(self):
from lale.lib.lale import Batching, Hyperopt
from lale.lib.sklearn import MinMaxScaler, SGDClassifier
pipeline = Batching(operator=MinMaxScaler() >> SGDClassifier())
trained = pipeline.auto_configure(
self.X_train, self.y_train, optimizer=Hyperopt, max_evals=1
)
_ = trained.predict(self.X_test)
def test_batching_with_hyperopt(self):
from lale.lib.sklearn import MinMaxScaler, SGDClassifier
from lale.lib.lale import Hyperopt, Batching
from sklearn.metrics import accuracy_score
pipeline = Batching(operator=MinMaxScaler() >> SGDClassifier())
trained = pipeline.auto_configure(self.X_train,
self.y_train,
optimizer=Hyperopt,
max_evals=1)
predictions = trained.predict(self.X_test)
